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Professor Armando Apan

Professor Armando Apan
Name Armando Apan
Position Professor (Geographic Systems)
Section School of Civil Engineering and Surveying
Office Z451
Location Toowoomba Campus
Phone +61 7 4631 1386
Extension 1386
Qualifications BSc Phillipines , MSc Asian IT , PhD Monash
Languages Tagalog (non accredited translator)
The views expressed on staff homepages may not reflect the views of the University.

Fields of Research (FoR)

  • Geospatial Information Systems ( 090903 )
  • Environmental Science and Management ( 050200 )
  • Photogrammetry and Remote Sensing ( 090905 )

Research interests
Remote sensing and GIS to observe terrestrial ecosystems and their responses to environmental / climate change
Detection and mapping of crop / vegetation stress using hyperspectral and multispectral imagery
Vegetation and habitat mapping; biodiversity assessment using geospatial technologies
Flood mapping and monitoring
Land use/cover change analysis using GIS and imagery
Crop area, stress and yield mapping

Professional memberships
Fellow, Surveying and Spatial Science Institute (Australia)

USQ Research affiliations

  • Institute for Life Sciences and the Environment (ILSE)
  • Centre for Sustainable Agricultural Systems (CSAS)

Currently teaching courses/programs
GIS3405 Remote Sensing and Image Processing
GIS1402 Geographic Information Systems
GIS3405 Spatial Analysis and Modelling
ENG4111 / 2 Research Project
GIS3404 Geographic Data Visualisation

Teaching experience(Tertiary)
22 Years

Publications in ePrints

Dayal, Kavina S. and Deo, Ravinesh C.ORCID: and Apan, Armando A. (2021) Intelligent data analytics for time series, trend analysis and drought indices comparison. In: Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Springer Transactions in Civil and Environmental Engineering. Springer, Singapore, pp. 151-169. ISBN 978-981-15-5771-2

Dayal, Kavina S. and Deo, Ravinesh C.ORCID: and Apan, Armando A. (2020) Development of copula statistical drought prediction model using the Standardized Precipitation-Evapotranspiration Index. In: Handbook of probabilistic models. Elsevier (Butterworth-Heinemann), Oxford, United Kingdom, pp. 141-178. ISBN 978-0-12-816514-0

Phung, Hoang-Phi and Lam-Dao, Nguyen and Nguyen-Huy, ThongORCID: and Le-Toan, Thuy and Apan, Armando A. (2020) Monitoring rice growth status in the Mekong Delta, Vietnam using multitemporal Sentinel-1 data. Journal of Applied Remote Sensing, 14 (1):014518. 014518-1.

Pant, Ganesh and Maraseni, Tek and Apan, Armando and Allen, Benjamin L. (2020) Trends and current state of research on greater one-horned rhinoceros (Rhinoceros unicornis): a systematic review of the literature over a period of 33 years (1985–2018). Science of the Total Environment, 710 (Article 136349). ISSN 0048-9697

Maraseni, Tek Narayan and Bhattarai, Nabin and Karky, Bhaskar Singh and Cadman, Timothy and Timalsina, Niroj and Bhandari, Trishna Singh and Apan, Armando and Ma, Hwan Ok and Rawat, R. S. and Verma, Nemit and San, Su Mon and Oo, Thaung Naing and Dorji, Kinley and Dhungana, Sindhu and Poudel, Mohan (2019) An assessment of governance quality for community-based forest management systems in Asia: Prioritisation of governance indicators at various scales. Land Use Policy, 81. pp. 750-671. ISSN 0264-8377

View full listing in ePrints